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4 recordsLinked to original sources
PubMed2026

Improving insurance deduction identification: a hybrid artificial intelligence model using machine learning and expert systems.

PURPOSE: Financial challenges in healthcare systems worldwide, especially in low- and middle-income countries like Iran, have increased hospitals' reliance on insurance reimbursements. Unrecognized insurance deductions often cause severe financial shortages, making efficient deduction management crucial. This study aimed to design a hybrid intelligent system for identifying and predicting insurance deductions by combining machine learning and expert system frameworks. DESIGN/METHODOLOGY/APPROACH: A mixed-methods design was applied in four stages. First, a scoping review identified the causes and patterns of insurance deductions. Second, interviews with 15 insurance experts produced a validated checklist and a dataset from inpatient billing records. Third, using the CRISP-DM methodology, machine learning algorithms were developed and tested in SPSS Modeler alongside a fuzzy expert system developed in MATLAB. Finally, the model was validated using the holdout method. FINDINGS: Four categories of deduction drivers were identified: service provision, registration errors, document submission issues, and revenue conversion processes. The CHAID decision tree outperformed other algorithms with a 99% precision rate and the lowest Mean Absolute Error (9.43). A brief assessment of potential overfitting was conducted to ensure that the CHAID model's high accuracy was interpreted cautiously and supported by the validation results. The fuzzy expert system with validated rules was adaptable for deduction classification, especially for cases unsuitable for quantitative modeling. ORIGINALITY/VALUE: The hybrid model improves detection and prevention of deductions, offering actionable insights for hospital administrators, insurers, and policymakers. Its implementation can enhance hospital information systems, streamline claims processing, and optimize revenue management amid financial constraints.

Machine Learning↗
PubMed2026

Functional constipation in pregnancy and its association with dietary intake and physical activity: a cross-sectional study.

BACKGROUND: Functional constipation (FC) is a common complaint during pregnancy and has been reported to be associated with physical activity and dietary intake. However, previous studies have reported inconsistent findings. Therefore, this study aimed to determine the prevalence of FC and examine its association with physical activity and dietary intake among pregnant women. METHOD: In this cross-sectional study, 381 healthy pregnant women attending urban health centres in Tabriz, Iran, between January 2024 and February 2025, were selected using a multistage cluster sampling method. FC was diagnosed according to the Rome IV criteria. Data were collected through face-to-face interviews using the International Physical Activity Questionnaire (IPAQ) and the Food Frequency Questionnaire (FFQ). Multivariable Generalised Estimating Equations (GEE) analysis was performed to identify factors associated with FC. RESULTS: The overall prevalence of FC throughout pregnancy was 37%. In the first trimester, 41 out of 73 women (56%) had FC, while in the second trimester 53 out of 146 women (36%), and in the third trimester 47 out of 162 women (29%) were affected. Multivariate GEE indicated that both higher dietary fibre intake (aOR= 0.88, 95%CI 0.86-0.91, p&#x2009;<&#x2009;0.001) and higher fluid intake (aOR= 0.59, 95%CI 0.52-0.67, p&#x2009;<&#x2009;0.001) were associated with a reduced risk of FC. A normal BMI was associated with a lower risk of FC (aOR= 0.35, 95% CI 0.16-0.77, p&#x2009;=&#x2009;0.009), whereas, secondary education was associated with a higher risk (aOR= 2.81, 95%CI 1.33-5.95, p&#x2009;=&#x2009;0.007). Physical activity (aOR= 1.00; 95%CI 1.00 to 1.01; p&#x2009;=&#x2009;0.168), and other demographic characteristics (p&#x2009;>&#x2009;0.05) were not independently associated with FC after adjustment. CONCLUSION: FC is highly prevalent during pregnancy and may adversely affect women's quality of life. Higher dietary fibre and fluid intake were associated with lower odds of FC, highlighting the importance of healthy lifestyle behaviours during pregnancy. Prospective longitudinal studies are warranted to confirm these findings.

Humans↗
PubMed2026

Clustering patterns of behavioral and metabolic risk factors for noncommunicable diseases in Iran: findings from a national STEPS survey.

BACKGROUND: Noncommunicable diseases (NCDs) are the leading cause of mortality in Iran, driven by behavioral and metabolic risk factors that frequently co-occur. OBJECTIVE: To identify patterns of co-occurring behavioral and metabolic NCD risk factors among Iranian adults and characterize their demographic and socioeconomic correlates. METHODS: This cross-sectional study analyzed data from 16,618 adults aged &#x2265;25&#x2009;years who participated in Iran's 2021 nationally representative STEPS survey. Thirteen behavioral and metabolic variables, including physical activity, nutrition score, smoking frequency, alcohol intake, salt intake, body mass index, blood pressure, fasting plasma glucose, and lipid markers, were entered into a K-means clustering analysis. Clusters were characterized by their risk profiles and demographic/socioeconomic attributes. Multinomial logistic regression examined associations between cluster membership and sociodemographic factors. RESULTS: Five distinct behavioral-metabolic clusters emerged. The smokers-drinkers (SD) cluster (3.1%) comprised mostly older, less-educated men with high smoking and alcohol use. The healthy-low-risk (HLR) cluster (40.3%) showed favorable profiles and included younger, more educated individuals. The physically active (PA) cluster (6.6%) was characterized mainly by younger men with markedly high physical activity levels. The dyslipidemic (DLP) cluster (26.0%) exhibited high dyslipidemia and overweight prevalence, while the hypertensive-diabetic (HTD) cluster (24.0%) had the highest obesity, hypertension, and diabetes rates, common among older urban adults. CONCLUSION: Behavioral and metabolic NCD risk factors in Iran formed five distinct co-occurrence patterns. Nearly half of adults belonged to metabolically high-risk clusters, highlighting the need for targeted prevention strategies that combine lifestyle interventions with screening and management of obesity, hypertension, diabetes, and dyslipidemia.

Humans↗
PubMed2026

Impact of Integrated Continuous Team Midwifery Care on Breastfeeding Success within the Iranian Health System: A Randomized Controlled Trial.

INTRODUCTION: Supporting women during the perinatal period helps build confidence, strengthens early bonding between mother and baby, and encourages successful breastfeeding. Continuous midwifery care models are one of the ways that support women in this periods. OBJECTIVE: This study aimed to evaluate the effect of integrated continuous team midwifery care (ICTMC) in enhancing breastfeeding success in the Iranian health system. METHODS: In this randomized controlled trial, 200 low-risk primiparous women with a gestational age of less than 12 weeks were recruited from public health centers. Participants were randomly assigned to either the intervention group, which received continuous midwifery care throughout pregnancy, childbirth, and postnatal follow-up, or the control group, which received routine care. The primary outcomes were early skin-to-skin contact and breastfeeding success at the time of discharge and at 4-6 weeks postpartum. Data were analyzed using Stata, employing descriptive statistics, Chi-square, independent t-test, Phi/Cramer's V, and Cohen's d. The p < 0.05 is significant. Data were analyzed with SPSS 26. RESULTS: ICTMC groups were significantly more likely to initiate skin-to-skin contactearly skin-to-skin contact immediately after birth (92% vs. 74%, p < 0.001) and achieve successful breastfeeding at the discharge time (88% vs. 70%, p = 0.002) compared to the control group. At 6 weeks postpartum, breastfeeding success remained higher in the intervention group (82% vs. 65%, p = 0.004). CONCLUSION: Women with ICTMC, effectively support skin-to-skin contactearly mother-infant bonding and enhance breastfeeding success among low-risk primiparous women. Integrating this model into routine maternal care may improve perinatal outcomes.

Humans↗